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Stability of fuzzy control systems
Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 2002Stability of a class of fuzzy control systems is analyzed by replacing the fuzzy controller with an appropriate describing function. Nonlinear analytical expressions for fuzzy controllers are derived. These expressions are numerically approximated by describing functions.
Celal Batur, Thananchai Leephakpreeda
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IEEE transactions on fuzzy systems, 2018
This paper considers the problems of designing a robust observer and developing a backstepping-based adaptive fuzzy control scheme for a class of strict-feedback systems, in which the virtual control coefficients are unknown.
Bing Chen, Xiaoping Liu, Chong Lin
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This paper considers the problems of designing a robust observer and developing a backstepping-based adaptive fuzzy control scheme for a class of strict-feedback systems, in which the virtual control coefficients are unknown.
Bing Chen, Xiaoping Liu, Chong Lin
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IEEE transactions on fuzzy systems, 2018
In this paper, an universal adaptive fuzzy control (UAFC) scheme using output tracking error is proposed for practical tracking control of a class of nonlinear systems with unmeasured states and completely unknown perturbed dynamics including unknown ...
Ning Wang, Jing-Chao Sun, M. Er
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In this paper, an universal adaptive fuzzy control (UAFC) scheme using output tracking error is proposed for practical tracking control of a class of nonlinear systems with unmeasured states and completely unknown perturbed dynamics including unknown ...
Ning Wang, Jing-Chao Sun, M. Er
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Fuzzy systems and fuzzy expert control: An overview
The Knowledge Engineering Review, 1994AbstractThis paper presents an overview of fuzzy set theory and its application to the analysis and design of fuzzy expert control systems. Starting with a short account of the basic concepts and properties of fuzzy sets and fuzzy reasoning, a few fuzzy rule-based controllers, viz, basic single-input singleoutput fuzzy control, self-organizing fuzzy ...
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Impulsive Control of T-S Fuzzy Systems
Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007This paper provides a new viewpoint for fuzzy systems via an impulsive technique, i.e. the impulsive control is introduced into the fuzzy systems based on T-S model and the fuzzy system model with impulsive control is established. The main difference between the proposed control strategy and PDC lies in that the subsystems are the linear impulsive ones
Dan Yang, Xiaohong Zhang, Dong Li
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A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process
International Journal of Fuzzy Systems, 2020N. Phu, N. N. Hung, A. Ahmadian, N. Senu
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Robust L 2 -Gain Compensative Control for Direct-Adaptive Fuzzy-Control-System Design
IEEE transactions on fuzzy systems, 2010In this study, an effective and systematical robust approach for adaptive fuzzy-control-system design is proposed. In the design, a compensative-control law is proposed to provide the finite L2-gain property for direct-adaptive fuzzy-control systems to ...
Yao-Chu Hsueh +3 more
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Expert Systems and Fuzzy Control
1985During the last two centuries the potential of electronic data processing (EDP) has been used to an increasing degree to support human decision making in different ways. In the sixties the management informations systems (MIS) created probably exaggerated hopes of managers. Since the late 1970s and early 1980s decision support systems (DSS) found their
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Robust Control for T-S Fuzzy Systems
2019T-S fuzzy models with actuator saturation and norm-bounded uncertainties have been used to describe nonlinear systems subject to actuator saturation in [10]. An overhead crane model has been described by a class of T-S fuzzy systems with input delays and actuator saturation in [193].
Hongjiu Yang, Yuanqing Xia, Qing Geng
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Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017This paper presents an adaptive fuzzy control approach for a category of uncertain nonstrict-feedback systems with input saturation and output constraint.
Qi Zhou +4 more
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